Name | Description | Type | Package | Framework |
DataValidators | A collection of methods used to validate data before applying ML algorithms. | Class | org.apache.spark.mllib.util | Apache Spark |
KMeansDataGenerator | Generate test data for KMeans. | Class | org.apache.spark.mllib.util | Apache Spark |
LinearDataGenerator | Generate sample data used for Linear Data. | Class | org.apache.spark.mllib.util | Apache Spark |
Loader | Trait for classes which can load models and transformers from files. | Interface | org.apache.spark.mllib.util | Apache Spark |
LogisticRegressionDataGenerator | Generate test data for LogisticRegression. | Class | org.apache.spark.mllib.util | Apache Spark |
MFDataGenerator | Generate RDD(s) containing data for Matrix Factorization. | Class | org.apache.spark.mllib.util | Apache Spark |
MLUtils | Helper methods to load, save and pre-process data used in ML Lib. | Class | org.apache.spark.mllib.util | Apache Spark |
Saveable | Trait for models and transformers which may be saved as files. | Interface | org.apache.spark.mllib.util | Apache Spark |
SVMDataGenerator | Generate sample data used for SVM. | Class | org.apache.spark.mllib.util | Apache Spark |